Predicting Missing Markers to Drive Real-Time Centre of Rotation Estimation

Authors:
Andreas Aristidou;Jonathan Cameron;Joan Lasenby
Affiliations:
Department of Engineering, University of Cambridge, Cambridge, UK CB2 1PZ;Department of Engineering, University of Cambridge, Cambridge, UK CB2 1PZ;Department of Engineering, University of Cambridge, Cambridge, UK CB2 1PZ
Venue:
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Year:
2008

Citing 9
Cited 3

The HiBall Tracker: high-performance wide-area tracking for virtual and augmented environments

Proceedings of the ACM symposium on Virtual reality software and technology
Understanding Motion Capture for Computer Animation and Video Games

Understanding Motion Capture for Computer Animation and Video Games
Interpolation Synthesis of Articulated Figure Motion

IEEE Computer Graphics and Applications
Verbs and Adverbs: Multidimensional Motion Interpolation

IEEE Computer Graphics and Applications
Skeletal Parameter Estimation from Optical Motion Capture Data

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Self-Calibrating Optical Motion Tracking for Articulated Bodies

VR '05 Proceedings of the 2005 IEEE Conference 2005 on Virtual Reality
Optical Tracking and Automatic Model Estimation of Composite Interaction Devices

VR '06 Proceedings of the IEEE conference on Virtual Reality
Estimation of missing markers in human motion capture

The Visual Computer: International Journal of Computer Graphics
A real-time sequential algorithm for human joint localization

SIGGRAPH '05 ACM SIGGRAPH 2005 Posters

BoLeRO: a principled technique for including bone length constraints in motion capture occlusion filling

Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Overall design and implementation of the virtual glove

Computers in Biology and Medicine
Forward non-rigid motion tracking for facial MoCap

The Visual Computer: International Journal of Computer Graphics

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper addresses the problem of real-time location of the joints or centres of rotation (CoR) of human skeletons in the presence of missing data. The data is assumed to be 3dmarker positions from a motion capture system. We present an integrated framework which predicts the occluded marker positions using a Kalman filter in combination with inferred information from neighbouring markers and thereby maintains a continuous data-flow. The CoR positions can be calculated with high accuracy even in cases where markers are occluded for a long period of time.